code: def get_segmentation_dataset(name, **kwargs):
      """Segmentation Datasets"""
      return datasets[name.lower()](**kwargs)
  
imports: from .None import transforms
  from .None import batchify
  from .imagenet.classification import ImageNet, ImageNet1kAttr
  from .dataloader import DetectionDataLoader, RandomTransformDataLoader
  from .pascal_voc.detection import VOCDetection, CustomVOCDetection, CustomVOCDetectionBase
  from .mscoco.detection import COCODetection
  from .mscoco.detection import COCODetectionDALI
  from .mscoco.instance import COCOInstance
  from .mscoco.segmentation import COCOSegmentation
  from .mscoco.keypoints import COCOKeyPoints
  from .cityscapes import CitySegmentation
  from .pascal_voc.segmentation import VOCSegmentation
  from .pascal_aug.segmentation import VOCAugSegmentation
  from .ade20k.segmentation import ADE20KSegmentation
  from .mhp import MHPV1Segmentation
  from .visdrone.detection import VisDroneDetection
  from .segbase import ms_batchify_fn
  from .recordio.detection import RecordFileDetection
  from .lst.detection import LstDetection
  from .mixup.detection import MixupDetection
  from .ucf101.classification import UCF101, UCF101Attr
  from .kinetics400.classification import Kinetics400, Kinetics400Attr
  from .kinetics700.classification import Kinetics700, Kinetics700Attr
  from .somethingsomethingv2.classification import SomethingSomethingV2, SomethingSomethingV2Attr
  from .hmdb51.classification import HMDB51, HMDB51Attr
  from .video_custom.classification import VideoClsCustom
  from .sampler import SplitSampler, ShuffleSplitSampler
  from .otb.tracking import OTBTracking
  from .kitti.kitti_dataset import KITTIRAWDataset, KITTIOdomDataset
label_desc: Use image node_id 1 for calling a global function with example usage: get_segmentation_dataset(name) and returns: datasets